Deep learning based quantitative cervical vertebral maturation analysis

Deep learning based quantitative cervical vertebral maturation analysis

Abstract Objectives This study aimed to enhance clinical diagnostics for quantitative cervical vertebral maturation (QCVM) staging with precise landmark localization. Existing methods are often subjective and time-consuming, while deep learning alternatives withstand the complex anatomical variation...

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Bibliographic Details
Main Authors: Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Head & Face Medicine
Subjects:
Quantitative cervical vertebral maturation (QCVM)
Lateral cephalogram
Automated landmark location
Artificial intelligence
Orthodontics
Online Access:https://doi.org/10.1186/s13005-025-00498-6
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https://doi.org/10.1186/s13005-025-00498-6

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